Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own revenue recognition and the end-to-end order-to-cash lifecycle for a high-volume, consumption-based business. Responsibilities include ASC 606 policy and judgment, billing, accounts receivable, collections, reconciliations, payment-platform settlement analysis, revenue automation, controls, close processes, reporting, and audit support. The role partners with Engineering and Data to improve transaction-level data quality and build scalable revenue systems in a high-growth environment.

Own and improve corporate security across identity and access management, endpoint protection, SaaS applications, Zero Trust, automation, detection, and incident response. Implement Entra ID controls, SSO, SCIM, MFA, RBAC, JML workflows, Intune policies, EDR, and security baselines. Automate security processes with Python or JavaScript, investigate alerts, remediate incidents, and partner with IT, Security, Engineering, and business teams in a fast-moving startup environment.

Serves as a senior commercial legal advisor to Marketing, Growth, Sales, Partnerships, Product, and Finance. Leads negotiation of marketing, advertising, performance-based, affiliate, media, creator, SaaS, API, licensing, and strategic partnership agreements. Advises leadership on AI, privacy, data, intellectual property, consumer protection, and commercialization risks. Builds scalable contracting processes, templates, playbooks, and approval frameworks while mentoring junior legal professionals and supporting high-priority strategic initiatives.

Own complex HR operations workflows across employee changes, HR systems, payroll, benefits, compliance, and global employment processes. Improve HRIS configurations, automation, reporting, data integrity, documentation, and operational controls. Partner with HR, Finance, Legal, IT, managers, payroll providers, benefits vendors, and international employment partners to resolve issues and build scalable, audit-ready processes.

Build and scale Higgsfield AI’s events function, creating playbooks, calendars, processes, budgets, and success metrics. Own external conferences, trade shows, customer events, activations, executive experiences, internal offsites, and employee events end to end. Manage vendors, contracts, logistics, staffing, and onsite execution while partnering with cross-functional leaders. Measure event performance, negotiate costs, and ensure events support pipeline, customer engagement, partnerships, brand awareness, and company culture.

Build and automate technical security, privacy, and compliance controls across cloud, identity, HR, source control, CI/CD, and SaaS systems. Develop continuous monitoring, dashboards, alerts, release gates, evidence collection, control testing, and exception management. Design AI-assisted GRC workflows and support AI assurance initiatives. Collaborate with Security, Engineering, Privacy, Legal, auditors, and customer security teams in a fast-moving 0-to-1 environment.

Provide legal support for product development, privacy, AI governance, and regulatory strategy. Advise Product, Engineering, Security and executive teams on AI-powered features, data usage, and launches. Lead cross-functional legal workstreams, build scalable review processes, playbooks, and governance frameworks, and support commercial, IP, and operational initiatives to enable rapid, compliant product innovation.

The Senior Counsel will partner across departments to provide legal support, manage contracts, and build legal processes while staying updated on relevant laws.

Own technical customer inquiries and escalations from intake through resolution. Investigate complex issues, troubleshoot APIs and integrations, identify root causes, and coordinate Engineering and Product teams. Translate customer and business needs into technical action plans, communicate solutions clearly, prioritize high-impact issues, and identify recurring product gaps. Build scalable processes, documentation, and tooling while helping customers successfully use Higgsfield’s AI products.

Build large-scale machine learning systems for advertising, including ranking, recommendation, targeting, prediction, optimization, and creative generation. Develop feedback loops connecting generative AI outputs to advertising performance signals, apply prompt engineering and post-training methods, run experiments, and ship reliable production ML systems. Collaborate across Product, Research, Engineering, and go-to-market teams to deliver AI-native advertising products.